Turn-level Truncated On-Policy Distillation (TT-OPD) methodology for training multi-turn medical AI agents via reinforcement learning. Addresses multi-turn collapse, response length explosion, and tool-use erosion in clinical dialogue. Use when training medical AI agents, RL-based dialogue systems, or multi-turn agentic systems where sparse terminal rewards cause training instability.
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Type: Agent skill (SKILL.md) · Category: Science, Health & Education · Source: https://github.com/hiyenwong/ai_collection/tree/HEAD/collection/skills/ai-ml/tt-
| Capabilities (fewer powerful permissions = higher) | 50/50 |
| Maintenance | 21/35 |
| Documentation | 15/15 |
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